The grid computing technology is evolving from the emergence to the stable and production status. In the computational science field the grid computing approach for storage and computing element resource sharing is a common way thanks to middleware as the Globus Toolkit and grid environments as the Condor project. In many domain applications, as environmental science, bioinformatics and interactive multimedia delivery, the shared resource is composed by tagged data and contents instead of hardware components. We provide a grid aware component leveraging on our Resource Broker Service implementing a wrap over the world-wide spread OpenDAP scientific data access protocol, ensuring effective and efficient grid based content distribution, and c...
Abstract- This paper describes how grids and grid service technologies can be used to develop an inf...
This paper describes our Desktop Grid Environment Enabler (DEGREE), a set of Web Services that provi...
Today many DataGrid applications need to manage and process a very large amount of data distributed ...
Grid computing has widely evolved over the past years, and its capabilities have found their way eve...
In this paper we describe how the grid computing resource brokering approach, classically divided in...
In this paper we describe how the grid computing resource brokering approach, classically divided in...
The goal of this project is the development of a novel environment to support globally distributed s...
The next generation of scientific experiments and studies, popularly called e-Science, is carried ou...
Grid is an infrastructure that involves the integrated and collaborative use of computers, networks,...
With the advent of Grids - infrastructure for using and managing widely distributed computing and da...
Over the last few decades, the needs of computational power and data storage by collaborative, distr...
This paper describes how grids and grid service technologies can be used to develop an infrastructur...
Large-scale scientific research often relies on the collaborative use of Grid and e-Science infrastr...
High-resolution climate and weather forecast models, and regional and global sensor networks, are pr...
© 2006 Dr. Srikumar VenugopalThe next generation of scientific experiments and studies are being car...
Abstract- This paper describes how grids and grid service technologies can be used to develop an inf...
This paper describes our Desktop Grid Environment Enabler (DEGREE), a set of Web Services that provi...
Today many DataGrid applications need to manage and process a very large amount of data distributed ...
Grid computing has widely evolved over the past years, and its capabilities have found their way eve...
In this paper we describe how the grid computing resource brokering approach, classically divided in...
In this paper we describe how the grid computing resource brokering approach, classically divided in...
The goal of this project is the development of a novel environment to support globally distributed s...
The next generation of scientific experiments and studies, popularly called e-Science, is carried ou...
Grid is an infrastructure that involves the integrated and collaborative use of computers, networks,...
With the advent of Grids - infrastructure for using and managing widely distributed computing and da...
Over the last few decades, the needs of computational power and data storage by collaborative, distr...
This paper describes how grids and grid service technologies can be used to develop an infrastructur...
Large-scale scientific research often relies on the collaborative use of Grid and e-Science infrastr...
High-resolution climate and weather forecast models, and regional and global sensor networks, are pr...
© 2006 Dr. Srikumar VenugopalThe next generation of scientific experiments and studies are being car...
Abstract- This paper describes how grids and grid service technologies can be used to develop an inf...
This paper describes our Desktop Grid Environment Enabler (DEGREE), a set of Web Services that provi...
Today many DataGrid applications need to manage and process a very large amount of data distributed ...